Top Tech Jobs & Startup Jobs in Naples

Drive new business and upsell within existing enterprise accounts in Italy. Use consultative selling of security cloud solutions, work with renewals, presales and PS teams, develop account/opportunity plans, manage CRM and forecasts, engage C-level stakeholders, and build partner/channel relationships to meet revenue targets.

Lead design, research, and productionization of NLP and LLM capabilities (NER, classification, generation, semantic search, RAG/GraphRAG). Build experiments, prototypes, evaluation metrics, and integrate models into production workflows while collaborating with engineering, data, and product teams.

Lead research, design, and production deployment of computer vision and ML solutions. Define architectures, run experiments, own model lifecycle, improve model quality, enable MLOps, mentor engineers, and integrate CV features into production systems.

Lead analytics strategy and partner with Finance, Sales, Marketing, and Product to design, automate, and maintain metrics, dashboards, and analyses. Ensure data quality (dbt), build scalable analytics solutions, embed AI-driven and agentic workflows, and translate insights into actionable business outcomes to improve acquisition, retention, and growth.

Serve as the technical partner interface to design, build, and maintain integrations and reference implementations between Nebius and strategic partners. Architect enterprise-ready solutions for GPU-accelerated AI/ML workflows, enable partner teams with docs and demos, influence product roadmap, and provide technical leadership for complex joint deployments and troubleshooting.

Lead single-threaded product ownership for the end-to-end payment transaction rail (connectivity, orchestration, transaction core, money operations, risk/vault). Define strategy, architecture, and roadmap; drive cross-domain execution, resilience, observability, and a You Build It You Run It culture. Prioritize via evidence, unblock engineering, and ensure bank-grade reliability across payments platform components.

Support the Deputy Programme Director by conducting research, benchmarking, economic and financial analysis, and modelling. Help design programme solutions, support delivery activities (organisation design, integration, strategy), run workshops, prepare reports and presentations, maintain records, and identify process improvements while collaborating with senior team members.

Lead and deliver high-quality infrastructure advisory services across the project lifecycle (strategic assessment through in-service asset management). Manage multidisciplinary teams, build client relationships, drive business development, ensure service quality and HSE accountability, mentor staff, and support growth of the Ireland infrastructure practice (Dublin or Belfast).

Manage 100–200 mid/mass-market accounts focusing on renewals, upsells, relationship development, and revenue growth. Provide consultative support, process orders, meet renewal/growth targets, track at-risk accounts, collaborate with cross-functional teams, and conduct quarterly business reviews. Travel ~50%.

Own end-to-end product features for a billing platform: discover, scope, implement, release, and iterate. Work with customers and cross-functional teams, contribute to product decisions, build reliable solutions, use AI to prototype and accelerate work, and engage with the open-source community on GitHub.

Provide coaching and quality oversight for Raters on Italian-language annotation projects: create gold sets, run test rounds, perform tier-2 reviews, analyze KPIs and datasets, craft client communications, and collaborate with R&D to improve AI training data and rating accuracy.

Provide expert-level guidance and coaching to Raters, create gold sets and tier-2 reviews, analyze datasets and KPIs, run client test rounds, craft client communications, collaborate with R&D, and ensure consistent, unbiased annotations to improve AI advertising quality.

Manage end-to-end multilingual localization and LQA projects: plan scope, allocate resources, track schedules and budgets, prepare briefs and guidelines, onboard reviewers and vendors, operationalize LQA frameworks, run quality checks and calibration, and act as the primary operational client contact to mitigate risks and ensure timely delivery.

Lead applied ML efforts to embed LLMs and agentic workflows into production, focusing on anti-fraud, automated evaluation, and operational automation. Design reusable architectures, implement observability and A/B tests, partner with delivery and clients, and set engineering standards for prompts, agents, pipelines, and CI/CD.